← BioTransfer GEO Dataset Finder
GEO series

Incorporating histone H2B variants into chromatin modifies chromatin accessibility to induce the epithelial-to-mesenchymal transition in breast cancer [RNA]

GSE285391 Homo sapiens (human) RNA-seq (gene expression) 28 samples Submitted 2026/02/11 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 28 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
28 samples: 9 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Single amino-acid differences define H2B variants and modify chromatin accessibility to induce EMT in breast cancerOncogene · 2026
Summary (written by the submitters)
Histones scaffold genomic DNA and regulate access to the transcriptional machinery. However, naturally occurring histone variants can alter histone-DNA interactions, DNA and histone modifications, and the chromatin interactome. Hence, alterations in histone variant deposition can disrupt chromatin, and are increasingly recognized as a way to trigger various disease (including cancer).
Read the full summary ↓
While significant attention has been placed on the biochemical and functional roles of H2A and H3 variants, H2B variants remain largely understudied. Here, we show that H2B variants are dysregulated in breast cancer and that certain variants are associated with specific breast cancer subtypes. HIST1H2BO overexpression (in particular) is more common in Asian, African American/Black, and young female populations and is associated with a worse prognosis. In vitro, H2B1O compacts chromatin, and incorporating H2B1O into chromatin activates pro-inflammatory and oncogenic pathways and the epithelial-to-mesenchymal transition (EMT), and generates resistance to first-line chemotherapeutic agents. Thus, H2B1O acts much like an onco-histone, with H2B variant expression being a prognostic biomarker for breast cancer and a potential new target for drug therapies to enhance treatment efficacy.
Published in
Single amino-acid differences define H2B variants and modify chromatin accessibility to induce EMT in breast cancer
Dhahri H, Lau KH, Saintilnord WN et al. · Oncogene 2026 · PMID 41580505 · doi:10.1038/s41388-025-03636-1
This dataset
Open GSE285391 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE285391_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1203268 and SRA study SRP553951. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41580505) ↗
Study design
9 conditions, mostly in triplicate
Treated ×4 EV ×3 H2BC-2xHA ×3 H2BH-2xHA ×3 H2BO-2xHA ×3 EV Treated ×3 H2BC Treated ×3 H2BH Treated ×3 +1 more

Supports a between-group comparison across 28 samples.

How we read this: 9 replicated groups read from 28 sample titles; they account for 28 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.